AWS GenAI Solutions Architect

Vaga não está no LinkedIn

🕒 Outubro 9

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $60 - $90 / hora

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 1%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Por que essa pontuação:

• Aberta há 32 dias.
• As vagas desta empresa costumam ser preenchidas em 37 dias.

Candidatar-se

Encontrar Vagas Remotas Similares

High Bridge Consulting LLC

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2008

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A High Bridge Consulting LLC é uma empresa de consultoria e recrutamento orientada de baixo para cima, focada em pessoas, que auxilia empresas na transformação digital e em soluções de talentos com foco em tecnologia. A empresa enfatiza integridade, qualidade e colaboração, posicionando-se como um parceiro de gestão de conhecimento que apoia clientes, associados, fornecedores e parceiros em áreas como IA/Machine Learning, IoT, blockchain e outras iniciativas digitais. A High Bridge oferece serviços de consultoria e coloca profissionais qualificados para garantir o sucesso dos clientes, ao mesmo tempo que promove um ambiente criativo e de apoio para seus consultores.

Descrição

• Select appropriate Amazon Bedrock foundation models and explain model-selection rationale • Design and implement RAG solutions with grounded, cited responses • Design agentic architectures with short-term and long-term memory • Implement human-in-the-loop workflows and approval patterns • Architect and own ingestion pipelines processing millions of mixed-format documents • Process PDFs with tables/images, CSVs, and other unstructured/semi-structured data • Design document extraction, parsing, preprocessing, chunking, metadata, and embedding strategies • Architect semantic layers across structured and unstructured data • Model and integrate different data shapes for GenAI/RAG applications • Design EKS/Kubernetes and container architectures and defend EKS versus ECS decisions • Implement Terraform-based infrastructure through production deployment • Design AWS networking, monitoring, logging, and production infrastructure • Design secure GenAI solutions for regulated or sensitive data, including IAM, encryption, VPC, secrets, guardrails, prompt-injection defense, PII masking, and CloudTrail/CloudWatch • Develop and troubleshoot production-quality GenAI and data-pipeline components in Python • Create ADRs and technical architecture documentation • Present and defend architecture decisions to client architecture review boards and senior technical stakeholders

🎯 Requisitos

• Strong hands-on experience with Amazon Bedrock, including selecting appropriate foundation models and explaining model-selection rationale • Production deployment experience with Amazon Bedrock AgentCore / Agent Core • Experience with Amazon OpenSearch for vector search and semantic retrieval • Experience with Amazon S3 for data/document storage • Design and implementation experience with RAG solutions with grounded, cited responses • Experience with agentic architectures, including short-term and long-term agent memory • Experience implementing human-in-the-loop workflows and approval patterns • Hands-on ownership of ingestion pipelines processing millions of mixed-format documents • Experience with PDFs containing tables/images, CSVs, and other unstructured/semi-structured data • Strong understanding of document extraction, parsing, preprocessing, chunking, metadata, and embedding strategies • Ability to architect and own ingestion/data pipelines without relying on a separate data engineering team • Experience architecting a semantic layer across structured and unstructured data • Ability to model and integrate different data shapes for GenAI/RAG applications • Experience with EKS/Kubernetes and container architecture • Ability to explain and defend EKS versus ECS architecture decisions • Strong Terraform/Infrastructure-as-Code experience through production deployment • Experience with AWS networking, monitoring, logging, and production infrastructure • Strong understanding of AWS security architecture, including IAM/least-privilege access, KMS, TLS/encryption, private networking/VPC, Secrets Manager, Bedrock Guardrails, prompt-injection defense, PII detection/masking, and CloudTrail/CloudWatch • Experience designing GenAI solutions for regulated or sensitive data environments • Strong Python skills for developing and troubleshooting production-quality GenAI/data pipeline components • Experience creating Architecture Decision Records (ADRs) and technical architecture documentation • Ability to present, explain, and defend architecture decisions to client architecture review boards and senior technical stakeholders

🏖️ Benefícios

• Full-time employment • Fully remote work • Compensation of $60.00–$90.00 per hour

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo